Triple
T3691162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lytton Commission report |
E78345
|
entity |
| Predicate | characterizedManchukuoAs |
P49767
|
FINISHED |
| Object | puppet state of Japan |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: puppet state of Japan | Statement: [Lytton Commission report, characterizedManchukuoAs, puppet state of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizedManchukuoAs Context triple: [Lytton Commission report, characterizedManchukuoAs, puppet state of Japan]
-
A.
roleInManchuria
Indicates that an entity holds or held a specific role, position, or function in the context of Manchuria.
-
B.
dispositionAfterLossOfManchuria
Indicates the stance or attitude taken by an entity in response to the loss of control over Manchuria.
-
C.
roleInMeijiRestoration
Indicates the specific part, function, or contribution an entity had in bringing about or shaping the Meiji Restoration.
-
D.
ChineseLeader
Indicates that the subject is a person who holds or has held a top political leadership position in China.
-
E.
reignCharacterizedBy
Indicates that a ruler’s period of governance is defined or distinguished by a particular quality, condition, or notable feature.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:26 p.m.